A5034724446- Retinal Diseases and Treatments
- Retinal Imaging and Analysis
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- Retinal Development and Disorders
- Corneal Surgery and Treatments
- Ocular Diseases and Behçet’s Syndrome
- Cerebral Venous Sinus Thrombosis
- Intraocular Surgery and Lenses
- Artificial Intelligence in Healthcare and Education
- Traumatic Ocular and Foreign Body Injuries
- COVID-19 diagnosis using AI
- Optical Coherence Tomography Applications
- Proteoglycans and glycosaminoglycans research
- Virus-based gene therapy research
- Ocular Surface and Contact Lens
- Angiogenesis and VEGF in Cancer
- Corneal surgery and disorders
- Ocular Oncology and Treatments
- Mobile Health and mHealth Applications
- Retinal and Macular Surgery
- Artificial Intelligence in Healthcare
- Ocular Infections and Treatments
- 3D Printing in Biomedical Research
- Maternal and Neonatal Healthcare
Universidade Federal de São Paulo
2016-2025
Advanced Neural Dynamics (United States)
2024
Colorado State University
2019-2022
Universidade de São Paulo
2022
Tufts Medical Center
2011-2020
Boston University
2012-2020
Massachusetts Eye and Ear Infirmary
2011-2019
Creative Commons
2019
Smith-Kettlewell Eye Research Institute
2011-2019
Harvard University
2011-2019
In Brief Purpose: This study was designed to examine choroidal thickness in patients with diabetes using spectral-domain optical coherence tomography. Methods: Forty-nine (49 eyes) and 24 age-matched normal subjects underwent high-definition raster scanning tomography frame enhancement software. Patients were classified into 3 groups: 11 mild or moderate nonproliferative diabetic retinopathy no macular edema, 18 20 treated proliferative edema (treated retinopathy). Choroidal measured from...
The aim of this study was to evaluate the performance ChatGPT-4.0 in answering 2022 Brazilian National Examination for Medical Degree Revalidation (Revalida) and as a tool provide feedback on quality examination.A total two independent physicians entered all examination questions into ChatGPT-4.0. After comparing outputs with test solutions, they classified large language model answers adequate, inadequate, or indeterminate. In cases disagreement, adjudicated achieved consensus decision...
Abstract Introduction The Brazilian Multilabel Ophthalmological Dataset (BRSET) addresses the scarcity of publicly available ophthalmological datasets in Latin America. BRSET comprises 16,266 color fundus retinal photos from 8,524 patients, aiming to enhance data representativeness, serving as a research and teaching tool. It contains sociodemographic information, enabling investigations into differential model performance across demographic groups. Methods Data three São Paulo outpatient...
Purpose: The aim of this study was to evaluate early retinal damage after induction ocular surface alkali burns and the protective effects tumor necrosis factor alpha (TNF-α) blockade. Methods: Alkali injury induced in mouse corneas by using 1 N NaOH. Retinal assessed a terminal deoxynucleotidyl transferase 2′-deoxyuridine 5-triphosphate nick end labeling (TUNEL) assay, 15 minutes 14 days postburn. Immune cell infiltration CD45 immunolocalization. cytokines were quantified enzyme-linked...
Control of retinal progenitor cell (RPC) survival, delivery, and differentiation following transplantation into the retina remains a challenge. This is largely due to use culture systems that involve poorly defined animal products do not mimic natural developmental milieu. We describe hyaluronic acid (HA) based hydrogels encapsulate mouse RPCs delivery system for injectable tissue engineering. selected HA because its role in early development as feeder layer stem cultures, relative ease with...
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformation. However, traditional care education and training often lack competencies. To promote safe effective AI implementation, professionals must acquire basic knowledge of machine learning neural networks, critical evaluation data sets, integration within clinical workflows, bias control, human-machine interaction settings. Additionally, they should understand the legal ethical aspects impact...
To assess ultrastructural stromal modifications in porcine corneas after riboflavin and ultraviolet A (UVA) exposure using immunofluorescence confocal imaging.Twenty-five freshly enucleated eyes were enrolled the study. Five served as control (group I). Twenty had their epithelium removed (groups I, II, IV, V) five intact III). Groups II III cross-linked with 0.1% solution (10 mg riboflavin-5-phosphate 10 mL 20% dextran-T-500) exposed to UVA (365 nm, 3 mW/cm2) for 30 minutes. Group IV...
Abstract Aims This study aims to compare the performance of a handheld fundus camera (Eyer) and standard tabletop cameras (Visucam 500, Visucam 540, Canon CR-2) for diabetic retinopathy macular edema screening. Methods was multicenter, cross-sectional that included images from 327 individuals with diabetes. The participants underwent pharmacological mydriasis photography in two fields (macula optic disk centered) both strategies. All were acquired by trained healthcare professionals,...
PurposeTo evaluate the performance of artificial intelligence (AI) systems embedded in a mobile, handheld retinal camera, with single image protocol, detecting both diabetic retinopathy (DR) and more-than-mild (mtmDR).DesignMulticenter cross-sectional diagnostic study, conducted at three diabetes care eye facilities.ParticipantsA total 327 individuals mellitus (Type 1 or Type 2) underwent imaging protocol enabling expert reading automated analysis.MethodsParticipants fundus photographs using...
Abstract To assess the feasibility of code-free deep learning (CFDL) platforms in prediction binary outcomes from fundus images ophthalmology, evaluating two distinct online-based (Google Vertex and Amazon Rekognition), datasets. Two publicly available datasets, Messidor-2 BRSET, were utilized for model development. The consists photographs diabetic patients BRSET is a multi-label dataset. CFDL used to create models, with no preprocessing images, by single ophthalmologist without coding...